# asia_indi017 - Gahan - Breitenmoser Tree Ring Chronology Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # # Online_Resource: # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_indi017 - Gahan - Breitenmoser Tree Ring Chronology Data #-------------------- # Investigators # Investigators: Breitenmoser, P.; Bronnimann, S.; Frank, D. #-------------------- # Description_and_Notes # Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details #-------------------- # Publication # Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D. # Published_Date_or_Year: 2014-03-11 # Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies # Journal_Name: Climate of the Past # Volume: 10 # Edition: # Issue: # Pages: 437-449 # DOI: 10.5194/cp-10-437-2014 # Online_Resource: www.clim-past.net/10/437/2014/ # Full_Citation: # Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based Vaganov–Shashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4–6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL model’s ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate. #-------------------- # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Site_Information # Site_Name: Gahan # Location: # Country: India # Northernmost_Latitude: 31.18 # Southernmost_Latitude: 31.18 # Easternmost_Longitude: 77.27 # Westernmost_Longitude: 77.27 # Elevation: 2500 m #-------------------- # Data_Collection # Collection_Name: asia_indi017B # Earliest_Year: 1764 # Most_Recent_Year: 1989 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"3.78475513942"}{"T2":"11.6642434839"}{"M1":"0.0222963778642"}{"M2":"0.273970578424"} #-------------------- # Species # Species_Name: Himalayan spruce # Species_Code: PCSM #-------------------- # Chronology: # # # #-------------------- # Variables # # Data variables follow that are preceded by ## in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ##age age, , ,years AD, , , , ,N ##trsgi tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N # #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: nan # age trsgi 1764 0.894 1765 0.685 1766 0.681 1767 0.877 1768 0.882 1769 1.289 1770 1.198 1771 1.204 1772 1.148 1773 0.955 1774 0.794 1775 0.926 1776 0.746 1777 0.781 1778 0.653 1779 0.813 1780 0.953 1781 0.646 1782 0.94 1783 1.128 1784 1.09 1785 1.191 1786 1.303 1787 1.228 1788 1.357 1789 1.323 1790 1.19 1791 1.041 1792 0.925 1793 0.759 1794 0.657 1795 1.06 1796 0.741 1797 0.796 1798 1.055 1799 0.797 1800 0.722 1801 0.65 1802 0.843 1803 0.567 1804 0.669 1805 0.639 1806 0.815 1807 0.84 1808 0.879 1809 1.057 1810 1.012 1811 0.796 1812 0.661 1813 0.954 1814 0.959 1815 0.496 1816 0.796 1817 0.596 1818 0.667 1819 0.674 1820 0.663 1821 0.558 1822 0.652 1823 0.902 1824 0.89 1825 0.912 1826 1.088 1827 0.883 1828 1.099 1829 0.873 1830 0.951 1831 1.089 1832 1.123 1833 1.169 1834 1.133 1835 1.299 1836 1.456 1837 1.556 1838 1.579 1839 1.212 1840 1.402 1841 1.115 1842 1.279 1843 1.111 1844 1.447 1845 1.317 1846 1.249 1847 0.975 1848 0.899 1849 0.596 1850 0.602 1851 0.944 1852 0.923 1853 1.298 1854 1.222 1855 1.256 1856 0.801 1857 1.074 1858 0.872 1859 1.017 1860 0.971 1861 0.824 1862 0.867 1863 1.027 1864 1.127 1865 0.955 1866 0.891 1867 0.868 1868 1.164 1869 0.779 1870 0.849 1871 0.934 1872 0.98 1873 0.574 1874 0.799 1875 0.853 1876 0.829 1877 0.798 1878 1.094 1879 0.892 1880 0.712 1881 0.944 1882 1.057 1883 0.973 1884 1.015 1885 1.074 1886 1.248 1887 1.048 1888 0.556 1889 0.556 1890 0.65 1891 0.532 1892 0.222 1893 0.624 1894 0.733 1895 0.779 1896 0.569 1897 0.735 1898 0.451 1899 0.487 1900 0.559 1901 0.816 1902 0.848 1903 0.917 1904 0.914 1905 1.062 1906 0.938 1907 0.895 1908 0.742 1909 0.868 1910 0.896 1911 0.867 1912 0.853 1913 0.994 1914 1.069 1915 0.812 1916 0.764 1917 1.022 1918 1.115 1919 1.082 1920 1.184 1921 0.42 1922 0.724 1923 0.608 1924 0.769 1925 0.71 1926 0.789 1927 0.553 1928 0.783 1929 0.598 1930 0.703 1931 0.788 1932 0.448 1933 0.793 1934 0.759 1935 0.823 1936 0.918 1937 1.122 1938 0.697 1939 1.06 1940 1.008 1941 0.567 1942 0.769 1943 0.935 1944 0.985 1945 1.064 1946 1.181 1947 0.858 1948 1.005 1949 0.854 1950 1.124 1951 1.185 1952 1.115 1953 0.9 1954 0.969 1955 1.107 1956 1.285 1957 1.026 1958 1.267 1959 1.013 1960 1.089 1961 1.157 1962 1.035 1963 1.081 1964 1.465 1965 1.578 1966 1.377 1967 1.269 1968 1.327 1969 1.385 1970 0.969 1971 0.933 1972 1.189 1973 1.262 1974 0.944 1975 1.232 1976 1.255 1977 0.974 1978 0.882 1979 0.655 1980 0.489 1981 0.562 1982 0.982 1983 1.186 1984 1.291 1985 0.94 1986 1.045 1987 1.041 1988 0.843 1989 1.221